Jie Xu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Randomized Controlled Trial

Machine Learning

Allergic Rhinitis

Electronic Health Record

Top Venues

JMIR research protocols

Learning health systems

International journal of environmental research and public health

Alzheimer's & dementia : the journal of the Alzheimer's Association

This page only lists publications with an associated author ORCID identifier.

Publications

Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Jie Xu, Sankalp Talankar, Jinqian Pan, Ira Harmon, Yonghui Wu, David A Fedele, Jennifer Brailsford, Jennifer Noel Fishe
Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study. JMIR research protocols 13 (2024)
Yujia Li, Hui Hu, Yi Zheng, William Troy Donahoo, Yi Guo, Jie Xu, Wei-Han Chen, Ning Liu, Elisabeth A Shenkman, Jiang Bian, Serena Jingchuan Guo
Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes. International journal of environmental research and public health 20 (5) (2023)
Yujia Li, Hui Hu, Yi Zheng, William Troy Donahoo, Yi Guo, Jie Xu, Wei-Han Chen, Ning Liu, Elisabeth A Shenkman, Jiang Bian, Serena Jingchuan Guo
Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes. International journal of environmental research and public health 20 (5) (2023)
Yujia Li, Hui Hu, Yi Zheng, William Troy Donahoo, Yi Guo, Jie Xu, Wei-Han Chen, Ning Liu, Elisabeth A Shenkman, Jiang Bian, Serena Jingchuan Guo
Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes. International journal of environmental research and public health 20 (5) (2023)
Qian Li, Xi Yang, Jie Xu, Yi Guo, Xing He, Hui Hu, Tianchen Lyu, David Marra, Amber Miller, Glenn Smith, Steven DeKosky, Richard D Boyce, Karen Schliep, Elizabeth Shenkman, Demetrius Maraganore, Yonghui Wu, Jiang Bian
Early prediction of Alzheimer's disease and related dementias using real-world electronic health records. Alzheimer's & dementia : the journal of the Alzheimer's Association (2023)
Qian Li, Xi Yang, Jie Xu, Yi Guo, Xing He, Hui Hu, Tianchen Lyu, David Marra, Amber Miller, Glenn Smith, Steven DeKosky, Richard D Boyce, Karen Schliep, Elizabeth Shenkman, Demetrius Maraganore, Yonghui Wu, Jiang Bian
Early prediction of Alzheimer's disease and related dementias using real-world electronic health records. Alzheimer's & dementia : the journal of the Alzheimer's Association (2023)
Jie Xu, Yi Guo, Fei Wang, Hua Xu, Robert James Lucero, Jiang Bian, Mattia Prosperi
Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine. BMJ open 12 (6) (2022)
Akhil Vaid, Suraj K Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel J Lee, Sulaiman S Somani, Ishan Paranjpe, Jessica K De Freitas, Tingyi Wanyan, Kipp W Johnson, Mesude Bicak, Eyal Klang, Young Joon Fred Kwon, Anthony Beardsworth Costa, Shan P Zhao, Riccardo Miotto, Alexander W Charney, Erwin P Böttinger, Zahi Adel Fayad, Girish Nitin Nadkarni, Fei Wang, Benjamin Scott Glicksberg
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach. JMIR medical informatics 9 (1) (2021)
Suraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, Jie Xu, Kush Shah, Sergio Dellepiane, Ishan Paranjpe, Lili Chan, Patricia Kovatch, Alexander W Charney, Fei Wang, Benjamin Scott Glicksberg, Karandeep S Singh, Girish Nitin Nadkarni
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City. medRxiv : the preprint server for health sciences (2021)
Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S Brandt, Guoqian Jiang, Richard C Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A Pacheco, Luke V Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak
Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records. Learning health systems 4 (4) (2020)
Zhenxing Xu, Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal S Brandt, Guoqian Jiang, Richard C Kiefer, Yuan Luo, Jennifer A Pacheco, Luke V Rasmussen, Jie Xu, George Alexopoulos, Jyotishman Pathak
Subphenotyping depression using machine learning and electronic health records. Learning health systems 4 (4) (2020)
Pascal S Brandt, Richard C Kiefer, Jennifer A Pacheco, Prakash Adekkanattu, Evan T Sholle, Faraz S Ahmad, Jie Xu, Zhenxing Xu, Jessica S Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V Rasmussen
Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language. Learning health systems 4 (4) (2020)